Target detection method of matrix CFAR detector based on tKL divergence

Abstract

The invention relates to a target detection method of a matrix CFAR detector based on tKL divergence. The method comprises the following steps of: calculating a covariance matrix according to echoes received by each distance gate; calculating a right median matrix of the covariance matrix corresponding to a reference distance gate according to the definition of the tKL divergence; calculating a covariance matrix corresponding to a target to obtain the tKL divergence of a target covariance matrix and the right median matrix; determining a detection threshold value; and comparing the tKL divergence of the target covariance matrix and the right median matrix with the detection threshold value, and if the target tKL divergence is greater than the detection threshold value, determining that thetarget exists; and otherwise, determining that the target does not exist. By adoption of the target detection method of the matrix CFAR detector based on the tKL divergence provided by the technicalscheme, the problems of high difficulty and low accuracy of the existing target detection method for target detection under complex non-uniform clutter and short pulse sequence conditions can be effectively solved.

Description

technical field [0001] The invention relates to the technical field of target detection, in particular to a target detection method of a matrix CFAR detector based on tKL divergence. Background technique [0002] Target detection is widely used in military and civilian fields, such as sea target detection, space target detection, etc. However, affected by the complex non-uniform clutter environment, the target echo is usually very weak and complex, which makes the detection performance weak and cannot meet the actual detection requirements. The energy leakage of the filter bank seriously degrades the performance of the classical algorithm. Information geometry theory is a theory of information science using differential geometry methods on statistical manifolds. In 1989 Amari analyzed the multi-source statistical inference problem on statistical manifolds and explained the hypothesis testing problem based on the theory of information geometry. Because the data of matrix s...

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Problems solved by technology

[0004] The purpose of the present invention is to provide a target detection method based on a matrix CFAR detector based on tKL divergence, which can effectively solve the difficulty and accuracy of existing target detection methods for target detection under complex non-uniform clutter and short pulse sequence conditions. low problem

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